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Peyman Givi

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CitizenshipAmerican
KnownforFiltered density function
AwardsNASA Public Service Medal, NSF Presidential Faculty Fellowship
Peyman Givi
CitizenshipAmerican
Alma materYoungstown State University
Known forFiltered density function
AwardsNASA Public Service Medal, NSF Presidential Faculty Fellowship
Scientific career
FieldsCombustion, Fluid Mechanics
InstitutionsState University of New York Buffalo, University of Pittsburgh
Doctoral advisorWilliam Sirignano
Websitegivi.pitt.edu

Peyman Givi (Persian: پیمان گیوی) is a Persian-American rocket scientist and engineer.

Givi currently serves as a Distinguished Professor of Mechanical Engineering and Materials Science and the James T. McLeod Professor at the University of Pittsburgh, and previously was Distinguished Professor of Aerospace Engineering at State University of New York.

He is an Elected Fellow of the American Association for the Advancement of Science (AAAS),[1] American Academy of Mechanics (AAM),[2] American Institute of Aeronautics and Astronautics (AIAA),[3] American Physical Society (APS), American Society of Mechanical Engineers (ASME), and the Combustion Institute.

His research interests include thermal-fluid sciences, numerical methods, applied mathematics, random data analysis, stochastic processes, and quantum computing.[4]

Born in Iran, Givi now lives in Pittsburgh. He received his bachelor's degree in mechanical engineering from the Youngstown State University in 1980 and his master's and Ph.D. in mechanical engineering from Carnegie Mellon University in 1982 and 1984, respectively. His dissertation was “Turbulent Reacting Flows (Probability Density, Mixing Layers, Jets, Plug Flow Reactors, Monte Carlo Method).”[5][6]

Prior to joining the University of Pittsburgh in 2002, he held the rank of University Distinguished Professor in Aerospace Engineering at the State University of New York at Buffalo,[7][8][9] where he received the Professor of the Year Award by Tau Beta Pi (2002).[10]

Research

Givi was first to demonstrate that the filtered density function is a tool for accurate prediction of turbulent combustion.[11][12][13][14] [non-primary source needed]

Awards and honors

References

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